18.1. Biodiversity Flashcards

1
Q

Species

A

a group of organisms with similar morphology and physiology, which can breed together to produce fertile offspring and are reproductively isolated from other species

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2
Q

Problems of the definition of Species

A
  • Asexual reproduction? - no breeding
  • Genetic Sequencing?
  • Dogs with dissimilar morphology can reproduce - Chihuahua and Great Dane
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3
Q

Ecosystem

A

a relatively self-contained, interacting community of organisms, and the environment in which they live and with which they interact.

  • A self-sustaining unit consisting of abiotic and biotic factors interacting together
  • Includes all organisms of all populations (in a given area)
  • Energy flows through and cycling of minerals occur
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4
Q

Examples of Ecosystem

A
  • Tropical Rainforests
  • Rivers
  • Coral reefs
  • Woodland
  • Sandy desert
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5
Q

Niche

A

The role of an organism in the ecosystem. It includes where it lives and how it obtains its energy

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6
Q

Biodiversity

A

Degree of variation of lifeforms in an ecosystem

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7
Q

Biodiversity is made up of:

A

1) The number of species and their relative abundance
2) Genetic variation within each species
3) Variation in ecosystem or habitats

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8
Q

Species Diversity

A
  • The variety of species within a habitat or a region, and the abundance of the different species
  • Some habitats, such as rainforests and coral reefs, have many species. Others, such as salt flats or a polluted stream, have fewer
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9
Q

Genetic Diversity

A
  • The variety of alleles within a species
  • Each species is made up of individuals that have their own particular genetic composition.
  • This means a species may have different populations, each having different genetic compositions
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10
Q

Variation in ecosystems or habitats

A
  • Ecosystem diversity is the variety of ecosystems in given place
  • An ecosystem is a community of organisms and their physical environment interacting together
  • An ecosystem can cover a large area, such as a whole forest, or a small area, such as a pond
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11
Q

Abiotic Factors

A

non-living chemical and physical factors in the environment which affect ecosystems

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12
Q

Biotic Factors

A

a living component of an ecosystem; for example organisms, such as plants and animals

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13
Q

Stratified Sampling

A
  • Stratified sampling is simply the process of identifying areas within an overall habitat, which may be very different from each other and which need to be sampled separately.
  • Each individual area separately sampled within the overall habitat is then called a stratum.
  • The habitat may be fairly uniform, in which case, this is unnecessary
  • Within stratified sampling, there is random sampling and systematic sampling
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14
Q

Random Sampling

A

Used when an area looks reasonably uniform, or if there is no clear pattern to the way species are distribute

  • like by using a random number generator
  • the random numbers give you the coordinates of the sampling points in relation to the two tapes you have used to mark out the area
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15
Q

Quadrat

A

a square frame that marks off an area of ground, or water, where you can identify the different species present and/or take a measurement of their abundance
- no use for counting animals

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16
Q

Why take random samples?

A
  • To remove observer bias in the selection of samples.
  • Where statistical tests are to be used which require randomly collected data.
  • Where a large area needs to be covered quickly.
  • If time is very limited.
17
Q

Using a frame quadrat to estimate species frequency

A

a measure of the chance of a particular species being found within any one quadrat

  • you simply record whether the species was present in each quadrat that you analyse
  • like out of 50 times you see the same species 22 times so the species frequency is 22/50 = 44%
18
Q

Using a frame quadrat to estimate percentage cover species density

A

a measure of how many individuals there are per unit area – for example, per square metre.
- The number of individuals that you have counted is divided by the total area of all your quadrats

19
Q

Using a frame quadrat to estimate percentage cover

A
  • not always possible to count individual plants and animals because of the way that they grow
  • sometimes it is impossible to count individuals
  • you can use a 100 cm × 100 cm quadrat with wires running across it at 10 cm intervals in each direction, dividing the quadrat into 100 smaller squares.
  • you then decide approximately what percentage of the area inside the quadrat is occupied by each species
20
Q

Estimating number of mobile animals

A

Small mammals, such as mice and voles, can be caught in traps that are filled with hay for bedding and suitable food as bait

  • The techniques for this vary according to the size of the body of water, and whether it is still or moving
  • Method –> mark-release-recapture technique
21
Q

Mark–release–recapture technique

A

1) As many individuals as possible are caught. Each individual is marked, in a way that will not affect its future chance of survival
2) The marked individuals are counted, returned to their habitat and left to mix randomly with the rest of the population
3) When enough time has elapsed for the mixing to take place, another large sample is captured.
4) The number of marked and unmarked individuals is counted.
5) The proportion of marked to unmarked individuals is then used to calculate an estimate of the total number in the population

22
Q

Estimating population in the Mark–release–recapture technique

A
  • Estimate population by multplying number caught and marked in 1st sample with number caught in 2nd sample.
  • Then divide the whole thing by the number in the second sample that had been marked
23
Q

Simpson’s Index of Diversity

A

used to calculate a value for the species diversity in that area, once information is collected

D = 1 − ∑ ( ( n / N ) ^2 )

  • n is the total number of organisms of a particular species
  • N is the total number of organisms of all species
24
Q

Simpson’s Index of Diversity values

A
  • Values of D range from 0 to 1.
  • A value near 0 represents a very low species diversity. - A value near 1 represents a very high species diversity
  • diversity depends on the number of different species there are, and also the abundance of each of those species
25
Q

Advantage of using Simpson’s Index of Diversity

A

you do not need to identify all, or even any, of the organisms present to the level of species
- you can just create names for the organisms from their phenotypes

26
Q

Systematic Sampling

A

To show zonation of species along some environmental gradient. e.g. down a sea shore, across a woodland edge

  • area where the physical conditions, such as altitude, soil moisture content, soil type, soil pH, exposure or light intensity change
  • used to detect changes in community composition along a line across one or more habitats.
27
Q

Line Transect

A
  • In this case, you should randomly select a starting point in the field and lay out a measuring tape in a straight line to the marshy area.
  • You then sample the organisms that are present along the line
  • The simplest way to do this is to record the identity of the organisms that touch the line at set set distances – for example, every two metres.
  • This line transect will give you qualitative data
  • The organisms found at regular points along a line are noted.
28
Q

Belt Transect

A
  • placing a quadrat at regular intervals along the line and recording the abundance of each species within the quadrat.
  • the abundance of organisms within quadrats placed at regular points along a line is noted.
  • data from a line transect can be shown as a drawing.
  • data from a belt transect can be plotted as a set of bar charts or as a kite diagram
29
Q

Correlation

A

plot on scatter graph to make it easier to identify correlation

3 types

1) positive linear correlation
2) no correlation
3) negative linear correlation.

30
Q

When would you use Pearson’s correlation coefficient?

A
  • can only be used where you can see that there might be a linear correlation
  • when you have collected quantitative data as measurements (for example, length, height, depth, light intensity, mass) or counts (for example, number of plant species in quadrats).
  • data must be distributed normally, or you must be fairly sure that this is the case.
31
Q

When would you use Spearman’s rank correlation?

A
  • if you used an abundance scale
  • If you may not be sure if your quantitative data is normally distributed.
  • It might also be possible that a graph of your results shows that the data is correlated, but not in a linear fashion
32
Q

Correlation vs Relationship

A
  • Remember that correlation does not mean that changes in one variable cause changes in the other variable.
  • These correlation coefficients are ways for you to test a relationship that you have observed and recorded to see if the variables are correlated and, if so, to find the strength of that correlatio
33
Q

Spearman’s rank correlation

A

involves ranking the data recorded for each variable and assessing the difference between the ranks

rs = 1 − ( (6 * ∑D^2) / n^3 - n) )

  • where n is the number of pairs of items in the sample
  • D is the difference between each pair of ranked measurements and ∑ is the ‘sum of’
34
Q

Pearson’s linear correlation

A

used the data collected are for two continuous variables and the data within each variable show a normal distribution

r = (∑xy − (n * mean x * mean y) ) / (n * sx * sy)